Abstract
Molecular Communication via Diffusion (MCvD) is an effective and energy efficient method for transmitting information in nanonetworks. In this chapter, we focus on the modulation techniques in a diffusion-based communication system. We mainly assume the first hitting process for the reception of the signal and it affects the design of the modulation techniques. As observed in the nature, whenever an information carrying molecule hits to the receiver it is removed from the environment. These information molecules are called messenger molecules and can be of many types of chemical compounds such as DNA fragments, proteins, peptides or specifically formed molecules. Information is modulated on one or more physical properties of these molecules or the release timing. In this chapter, we mention four novel modulation techniques, i.e., concentration, frequency, molecular-type, and timing-based modulations for MCvD in a single transmitter and single receiver environment. We also exemplify a systematic realization for molecular-ratio-based modulation using isomers as messenger molecules for MCvD. Next, we compare the pros and cons of the modulation techniques for an absorbing receiver that are studied in the literature. Knowing the workings and the properties of these modulation techniques enables us to use them in combination whenever it is possible.
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References
Akyildiz IF, Brunetti F, Blázquez C (2008) Nanonetworks: a new communication paradigm. Comput Netw 52(12):2260–2279
Alfano G, Miorandi D (2006) On information transmission among nanomachines. In: Proceedings of international conference on nano-networks and workshops, (NanoNet). IEEE, pp 1–5
Arjmandi H, Gohari A, Kenari M, Bateni F (2013) Diffusion-based nanonetworking: a new modulation technique and performance analysis. IEEE Commun Lett 17(4):645–648
Chhikara RS, Folks JL (1989) The inverse Gaussian distribution: theory, methodology, and applications, vol 95. CRC Press
Farsad N, Guo W, Eckford AW (2013) Tabletop molecular communication: text messages through chemical signals. PloS One 8(12):e82,935
Farsad N, Kim NR, Eckford AW, Chae CB (2014) Channel and noise models for nonlinear molecular communication systems. Accepted to IEEE J Sel Areas Commun
Freitas RA (1999) Nanomedicine, volume I: basic capabilities. Landes Bioscience Georgetown, TX
Garralda N, Llatser I, Cabellos-Aparicio A, Pierobon M (2011) Simulation-based evaluation of the diffusion-based physical channel in molecular nanonetworks. In: Proceedings of IEEE conference on computer communications workshops (INFOCOM WKSHPS). IEEE, pp 443–448
Hiyama S, Moritani Y, Suda T, Egashira R, Enomoto A, Moore M, Nakano T (2006) Molecular communication. J Inst Electr Inf Commun Eng 89(2):162
Kilinc D, Akan OB (2013) Receiver design for molecular communication. IEEE J Sel Areas Commun 31(12):705–714
Kim NR, Chae CB (2013) Novel modulation techniques using isomers as messenger molecules for nano communication networks via diffusion. IEEE J Sel Areas Commun 31(12):847–856
Kuran MS, Yilmaz HB, Tugcu T, Akyildiz IF (2011) Modulation techniques for communication via diffusion in nanonetworks. In: Proceedings of IEEE international conference on communications (ICC). IEEE, pp 1–5
Kuran MS, Yilmaz HB, Tugcu T, Akyildiz IF (2012) Interference effects on modulation techniques in diffusion based nanonetworks. Elsevier Nano Commun Netw 3(1):65–73
Kuran MS, Yilmaz HB, Tugcu T, Ozerman B (2010) Energy model for communication via diffusion in nanonetworks. Elsevier Nano Commun Netw 1(2):86–95
Lin WA, Lee YC, Yeh PC, Lee Ch (2012) Signal detection and ISI cancellation for quantity-based amplitude modulation in diffusion-based molecular communications. In: Proceedings of global communications conference (GLOBECOM). IEEE, pp 4362–4367
Mahfuz MU, Makrakis D, Mouftah HT (2010) On the characterization of binary concentration-encoded molecular communication in nanonetworks. Elsevier Nano Commun Netw 1(4):289–300
McKee T, Mcfee JR (2009) Biochemisty. Oxford University Press
McNaught AD, Wilkinson A (1997) Compendium of chemical terminology. IUPAC
Moore MJ, Suda T, Oiwa K (2009) Molecular communication: modeling noise effects on information rate. IEEE Trans NanoBiosci 8(2):169–180
Nakano T, Suda T, Koujin T, Haraguchi T, Hiraoka Y (2007) Molecular communication through gap junction channels: System design, experiments and modeling. In: Proceedings of IEEE bio-inspired models of network, information and computing systems (Bionetics), Budapest, Hungary, pp 139–146
Nakano T, Suda T, Moore M, Egashira R (2005) Molecular communication for nanomachines using intercellular calcium signalling. In: Proceedings of IEEE conference on nanotechnology, pp 478–481
Pudasaini S, Shin S, Kwak KS (2014) Robust modulation technique for diffusion-based molecular communications in nanonetworks. arXiv preprint arXiv:1401.3938
Redner S (2001) A guide to first-passage processes. Cambridge University Press
Srinivas KV, Eckford AW, Adve RS (2012) Molecular communication in fluid media: the additive inverse Gaussian noise channel. IEEE Trans. Inf. Theory 58(7):4678–4692
Yilmaz HB, Heren AC, Tugcu T, Chae CB (2014) Three-dimensional channel characteristics for molecular communications with an absorbing receiver. IEEE Commun. Lett. 18(6):929–932
Yilmaz HB, Kim NR, Chae CB (2014) Effect of ISI mitigation on modulation techniques in communication via diffusion. In: Proceedings of ACM international conference on nanoscale computing and communication (ACM NanoCom)
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Yilmaz, H.B., Kim, NR., Chae, CB. (2017). Modulation Techniques for Molecular Communication via Diffusion. In: Suzuki, J., Nakano, T., Moore, M. (eds) Modeling, Methodologies and Tools for Molecular and Nano-scale Communications. Modeling and Optimization in Science and Technologies, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-319-50688-3_5
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DOI: https://doi.org/10.1007/978-3-319-50688-3_5
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